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@4:20 wouldn't count data be numerical and *non*-continuous?
Thank you for this great presentation please how to do the ridge regression for Poisson regression model in r
Thanks for the insightful presentation. Please, how is model training and testing done?
Thank Sir , have one question in that data "p" what if the num_awards has some negative numbers then how poisson is gonna work in R
The final interpretation was not clear. So what does the outcome say?
if the count is in percentages, can we use the same model ? like 50 percent of people hold cars etc
Aribah Aslam , the response variable must be discrete (1, 2,3, 4 .....). Percent would make it a continuous variable. For continuous variables you may want to use an OLS regression.
Eric Hollis Thanks
15:53
@4:20 wouldn't count data be numerical and *non*-continuous?
Thank you for this great presentation please how to do the ridge regression for Poisson regression model in r
Thanks for the insightful presentation. Please, how is model training and testing done?
Thank Sir , have one question in that data "p" what if the num_awards has some negative numbers then how poisson is gonna work in R
The final interpretation was not clear. So what does the outcome say?
if the count is in percentages, can we use the same model ? like 50 percent of people hold cars etc
Aribah Aslam , the response variable must be discrete (1, 2,3, 4 .....). Percent would make it a continuous variable. For continuous variables you may want to use an OLS regression.
Eric Hollis Thanks
15:53